Applied Digital Signal Processing Theory and Practice Manolakis Ingle Hardback

Description: Applied Digital Signal Processing Theory and Practice The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice. Dimitris G. Manolakis (Author), Vinay K. Ingle (Author) 9780521110020, Cambridge University Press Hardback, published 21 November 2011 1008 pages 25.3 x 19.5 x 4.1 cm, 1.75 kg 'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors. 1. Introduction 2. Discrete-time signals and systems 3. The z-transform 4. Fourier representation of signals 5. Transform analysis of LTI systems 6. Sampling of continuous-time signals 7. The discrete Fourier transform 8. Computation of the discrete Fourier transform 9. Structures for discrete-time systems 10. Design of FIR filters 11. Design of IIR filters 12. Multirate signal processing 13. Random signals 14. Random signal processing 15. Finite wordlength effects. Subject Areas: Signal processing [UYS], Communications engineering / telecommunications [TJK], Electronics & communications engineering [TJ]

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